Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Shixiong Shi"'
Publikováno v:
Geofluids, Vol 2020 (2020)
After the completion of fracturing operation in coalbed methane (CBM), the fracturing fluid needs to flow back to the ground in time to reduce the damage to the coal reservoir. The damage of guar-based fracturing fluid to the coal reservoir has an ad
Externí odkaz:
https://doaj.org/article/229b94dd5a5b47c18db4f32a33cb28dd
Publikováno v:
Advances in Civil Engineering, Vol 2020 (2020)
Coalbed methane (CBM) has been exploited in the deep area of the coal reservoir (>1000 m). The production of CBM vertical wells is low because of the high in situ stress, large buried depth, and low permeability of the coal reservoir. In this paper,
Externí odkaz:
https://doaj.org/article/e840c33402894278aa82afff0915dc10
Publikováno v:
PLoS ONE, Vol 10, Iss 10, p e0141223 (2015)
Spatial-temporal correlations among the data play an important role in traffic flow prediction. Correspondingly, traffic modeling and prediction based on big data analytics emerges due to the city-scale interactions among traffic flows. A new methodo
Externí odkaz:
https://doaj.org/article/2a07e55973804fb28cdec4593bf9fc8e
Publikováno v:
Geofluids, Vol 2020 (2020)
After the completion of fracturing operation in coalbed methane (CBM), the fracturing fluid needs to flow back to the ground in time to reduce the damage to the coal reservoir. The damage of guar-based fracturing fluid to the coal reservoir has an ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::904f8cfbfa4373083559e53d04438fe5
https://doi.org/10.1155/2020/8302310
https://doi.org/10.1155/2020/8302310
Publikováno v:
Advances in Civil Engineering, Vol 2020 (2020)
Coalbed methane (CBM) has been exploited in the deep area of the coal reservoir (>1000 m). The production of CBM vertical wells is low because of the high in situ stress, large buried depth, and low permeability of the coal reservoir. In this paper,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c341d4e432287f28dd75f5a70b0d65bb
Publikováno v:
UIC/ATC/ScalCom
A new methodology based on sparse representation is proposed to detect the relevant sensors for traffic flow prediction at a given sensor. It performs remarkably better than the least square fitting and the local spatial context based methods. Some i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::333ae79c1d68789fc022dd4a2e2a2f19
https://doi.org/10.1109/uic-atc-scalcom-cbdcom-iop.2015.80
https://doi.org/10.1109/uic-atc-scalcom-cbdcom-iop.2015.80
Publikováno v:
PLoS ONE
PLoS ONE, Vol 10, Iss 10, p e0141223 (2015)
PLoS ONE, Vol 10, Iss 10, p e0141223 (2015)
Spatial-temporal correlations among the data play an important role in traffic flow prediction. Correspondingly, traffic modeling and prediction based on big data analytics emerges due to the city-scale interactions among traffic flows. A new methodo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55ed1963d6344de7e8a178232fdbac7e
https://pubmed.ncbi.nlm.nih.gov/26496370
https://pubmed.ncbi.nlm.nih.gov/26496370